Structured Data Management Software Market Size, Trends [2031]

Structured Data Management Software Market Size, Trends [2031]

Segments - Structured Data Management Software Market by Deployment (On-premises and Cloud-based), Enterprise Size (Small & Medium Enterprises and Large Enterprises), End-user (Healthcare, Government, BFSI, Retail, eCommerce, Manufacturing, Automobile, IT & Telecom, and Others), and Region (Asia Pacific, North America, Latin America, Europe, and Middle East & Africa) - Global Industry Analysis, Growth, Share, Size, Trends, and Forecast 2023 – 2031

https://growthmarketreports.com/Raksha
Author : Raksha Sharma
https://growthmarketreports.com/Vaibhav
Fact-checked by : V. Chandola
https://growthmarketreports.com/Shruti
Editor : Shruti Bhat

Upcoming | Report ID :ICT-SE-6012 | 4.7 Rating | 56 Reviews | 198 Pages | Format : PDF Excel PPT

Report Description


Structured Data Management Software Market Outlook 2031

The global structured data management software market size was USD 70.5 Billion in 2022 and is likely to reach USD 133 Billion by 2031, expanding at a CAGR of 7.30% during 2023–2031. The surge in demand for centralized data storage solutions across several sectors fuels the market. Rising use of advanced digital tools for automation and efficient workflow across departments is expected to propel the market.

The digital infrastructure workings widely rely on the quality of the data available to the enterprises. This requires the adoption of efficient data collection and management practices with digital tools. Structured data is easy to comprehend for humans and machines. The software solutions enable one-stop management of various data records. The growing use of artificial intelligence (AI), machine learning (ML), and the Internet of Things (IoT), among other emerging tools are expected to propel the market.

  • According to a report published in December 2021 by Dataconomy, a prominent news, events, and opinion portal about data technology, about 90% of data available worldwide is in unstructured format or does not have defined schema. Analyzing such data is a major struggle, which necessitates the use of structured data management solutions.

Structured Data Management Software Market Outlook

The research report finds that the COVID-19 pandemic propelled the structured data management software market. Digitization of data and operations was adopted as a key initiative during this time by many organizations as a business continuity plan. This helped companies to run operations remotely in their capacity and facilitated ways to serve the customer base.

The digital growth in the midst of the pandemic spurred the volume of data generated by enterprise digital solutions. Several organizations realized the importance of data for future growth needs and adopted data management solutions. Post the normalization of the pandemic scenario, digital adoption is becoming crucial across the sectors, which is benefiting the market.

Impact of Artificial Intelligence (AI) on the Structured Data Management Software Market

Artificial intelligence is expected to support the market during the forecast period. Key mechanisms of AI are driven by the data and its quality. Quality structured data is essential for organizations to start taking benefit from the different advanced solutions. AI tools easily work with structured data, such as bank records, names, phone numbers, locations, and credit card numbers.

AI technology is projected to be a significant addition to structured data management software, as it has the ability to quickly analyze vast amounts of data and arrange it based on recognized patterns and order. Several key players in the market have already begun integrating AI with their software offerings to aid clients in expediting their data management operations.

  • A study published in January 2023 reveals that 61% of participants in the survey believe that AI is likely to have a substantial effect on their industry in the coming three to five years. More than 50% of surveyed executives are spending above USD 20 million toward talent and technology related to AI.

Structured Data Management Software Market Dynamics

Structured Data Management Software Market Dynamics

Major Drivers

Growing demand for centralized storage solutions for enterprise data is a major driver of the market. Several advantages are facilitated by such central data storage systems, which include data integrity, consistency, efficiency, security, and cost efficiency. Having a single source of data allows organizations to improve the productivity of the technology infrastructure, thereby, accelerating ROI on the campaigns and digital tools. Data centralization further improves collaboration and speed across departments by providing access to complete and validated data.

  • According to the recently published Customer Data Maturity Study by Treasure Data, a customer data management solution provider, more than three-quarters of surveyed companies, about 78%, depend on centralized customer data as a part of the data strategy. It further stated that centralized customer data provides enhanced efficiency (64%) and improved business growth (57%).

Existing Restraints

Increasing incidences of data breaches are anticipated to hinder the market during the forecast period. Several customer data contain sensitive information, which, if fallen into the wrong hands causes severe setbacks to the reputation of the firm, resulting in a lack of trust from customers. Such risks to customer data limit the adoption of data management tools among companies, thereby, restricting the market. Rising cybersecurity breaches and restricted template options to store this data are further likely to affect the market.

Emerging Opportunities

Rising demand for cloud computing solutions for structured data management is expected to widen opportunities for the key players in the market. Cloud solutions are proving beneficial for all sizes of enterprises, owing to their flexibility, cost, and scalability advantages, among several others. The dependence on cloud data solutions is steadily growing, as new solutions with the addition of technology, such as AI are emerging.

Scope of The Structured Data Management Software Market Report

The global market research report includes an assessment of the market trends, market segments, and regional markets. Overview and dynamics have also been included in the report.

Attributes

Details

Report Title

Structured Data Management Software Market - Global Industry Analysis, Growth, Share, Size, Trends, and Forecast

Base Year

2022

Historic Data

2016–2021

Forecast Period

2023–2031

Segmentation

Deployment (On-premises and Cloud-based), Enterprise Size (Small & Medium Enterprises and Large Enterprises), and End-user (Healthcare, Government, BFSI, Retail, eCommerce, Manufacturing, Automobile, IT & Telecom, and Others)

Regional Scope

Asia Pacific, North America, Latin America, Europe, and Middle East & Africa

Report Coverage

Company Share, Market Analysis and Size, Competitive Landscape, Growth Factors, Market Trends, and Revenue Forecast

Key Players Covered in the Report

Adobe; Amazon Web Services, Inc.; Ataccama; Broadcom; Cisco Systems, Inc.; Fujitsu; Google LLC; Hewlett Packard Enterprise Development LP; IBM Corporation; Informatica Inc.; Microsoft; MuleSoft (from Salesforce); Open Text; Oracle; RACKSPACE TECHNOLOGY; Salesforce, Inc.; SAP SE; SAS Institute Inc.; Talend, Inc.; and Teradata

Structured Data Management Software Market Segment Insights

Deployment Segment Analysis

Based on deployment, the structured data management software market is bifurcated into on-premises and cloud-based. The on-premises segment is expected to expand at a significant CAGR during the forecast period. The segment growth is attributed to the several organizations preferring in-house solutions over third-party data management services, due to data security concerns and the need to protect sensitive customer records from breaches.

The cloud segment is projected to register rapid growth in the coming years, owing to several advantages offered by these services to enterprises, including quick integration and premium offerings at an affordable subscription rate. The reliance on cloud data management tools is widening across the sectors, as they are allowing companies to benefit from technological advances in the quickest possible ways.

The customer records stored on the cloud are accessed by authorized users as and when needed in a flexible manner. These solutions are allowing numerous companies to save their resources and enhance data operation, leading to a boost in productivity.

  • According to recent studies, nearly 60% of the enterprise corporate data was stored on the cloud in 2022. This highlighted a significant increase over the 2015 cloud data volume, which was just 30%.

Enterprise Size Segment Analysis

On the basis of enterprise size, the global market is divided into small & medium enterprises and large enterprises. The large enterprises segment held a major share of the market in 2022 and is projected to register a substantial CAGR during the forecast period. The segment is propelled by the generation of large data volumes on a regular basis across departments coupled with the need to adopt data-driven practices across organizations to boost productivity.

The well-structured data is benefitting companies in quick decision-making and integrating automation tools to eliminate manual errors and unnecessary delays. 
The small & medium enterprises segment is anticipated to exhibit rapid growth with the growing adoption of cloud digital solutions for data management to enhance business operations.

These digital data management tools are effective for SMEs to face the rise of competition in modern times. Data-driven practices are rising at a rapid pace, with the growing implementation of enterprise software across SMEs, enabling better customer servicing, expansion of reach, and increase of productivity.

End-user Segment Analysis

On the basis of end-user, the structured data management software market is segmented into healthcare, government, BFSI, retail, eCommerce, manufacturing, automobile, IT & telecom, and others. The banking, financial services and insurance (BFSI) segment is expected to exhibit a robust growth rate during the projection period, owing to the wide adoption of structured data management software with the growing volume of random (unstructured) data points.

The rise of digitization has significantly transformed this sector, as the customer is relying heavily on digital banking and insurance tools to manage their money and investments. Thus, digital registrations, transactions, sign-ups, and inquiries have sharply grown. However, the adoption of structured data management software has become highly necessary to manage this huge daily generated customer data. These factors are expected to fuel the segment during the assessment period.

Structured Data Management Software Market End User

Regional Outlook

In terms of region, the global structured data management software market is classified as Asia Pacific, North America, Latin America, Europe, and Middle East & Africa. North America is projected to dominate the market during the forecast period, due to the growing adoption of risk management software and services.

The digital ecosystem is widening in the region, which is majorly driven by past data available to companies and the collection of new data points with efficient tools. The need for timely availability of authentic data for entering into various data analytics and presentations is projected to boost the market. The growing emergence of AI-powered data management and analytics tools and the rising awareness about structured data is further boosting the market in this region.


The market in Asia Pacific is anticipated to demonstrate rapid growth, owing to the rising adoption of data storage and processing tools, such as big data management. Increasing acceptance of cloud-structured data management software by SMEs in the region, owing to their multilateral advantages fuels the market. The rising digitization across sectors in emerging economies, such as India, China, and Japan, is scaling opportunities for the key players competing in the market.

Structured Data Management Software Market Region

Segments

The global structured data management software market has been segmented on the basis of

Deployment

  • On-premises
  • Cloud-based

Enterprise Size

  • Small & Medium Enterprises
  • Large Enterprises

End-user

  • Healthcare
  • Government
  • BFSI
  • Retail
  • eCommerce
  • Manufacturing
  • Automobile
  • IT & Telecom
  • Others

Region

  • Asia Pacific
  • North America
  • Latin America
  • Europe
  • Middle East & Africa

Key Players

  • Adobe
  • Amazon Web Services, Inc.
  • Ataccama
  • Broadcom
  • Cisco Systems, Inc.
  • Fujitsu
  • Google LLC
  • Hewlett Packard Enterprise Development LP
  • IBM Corporation
  • Informatica Inc.
  • Microsoft
  • MuleSoft (from Salesforce)
  • Open Text
  • Oracle
  • RACKSPACE TECHNOLOGY
  • Salesforce, Inc.
  • SAP SE
  • SAS Institute Inc.
  • Talend, Inc.
  • Teradata

Competitive Landscape

Key players competing in the structured data management software market are Adobe; Amazon Web Services, Inc.; Ataccama; Broadcom; Cisco Systems, Inc.; Fujitsu; Google LLC; Hewlett Packard Enterprise Development LP; IBM Corporation; Informatica Inc.; Microsoft; MuleSoft (from Salesforce); Open Text; Oracle; RACKSPACE TECHNOLOGY; Salesforce, Inc.; SAP SE; SAS Institute Inc.; Talend, Inc.; and Teradata.

These companies adopted development strategies, including mergers, acquisitions, partnerships, collaboration, product launches, and production expansion, to expand their consumer base worldwide. The competitive landscape covers key insights into growth strategies adopted by major market players.

  • In May 2023, IBM announced the launch of IBM Hybrid Cloud Mesh, to support companies to have better control over their Multicloud technology infrastructure. It is driven by an application-centric connectivity feature, which is engineered for process automation, management, and observation of application connectivity in and between private and public clouds.

  • In December 2022, Broadcom, a key enterprise software provider, launched a new solution, CA 1 Flexible Storage solution. It allows companies to store mainframe data wherever they choose, including the cloud. It is intended to be a cost-effective, secure, and flexible mainframe data storage solution for a hybrid IT environment.

Structured Data Management Software Market Key Players

Table Of Content

1. Executive Summary
2. Assumptions and Acronyms Used
3. Research Methodology
4. Structured Data Management Software Market Overview
  4.1. Introduction
     4.1.1. Market Taxonomy
     4.1.2. Market Definition
  4.2. Macro-Economic Factors
     4.2.1. Industry Outlook
  4.3. Structured Data Management Software Market Dynamics
     4.3.1. Market Drivers
     4.3.2. Market Restraints
     4.3.3. Opportunity
     4.3.4. Market Trends
  4.4. Structured Data Management Software Market - Supply Chain
  4.5. Global Structured Data Management Software Market Forecast
     4.5.1. Structured Data Management Software Market Size (US$ Mn) and Y-o-Y Growth
     4.5.2. Structured Data Management Software Market Size (000’ Units) and Y-o-Y Growth
     4.5.3. Structured Data Management Software Market Absolute $ Opportunity
5. Global Structured Data Management Software Market Analysis and Forecast by End Users
  5.1. Market Trends
  5.2. Introduction
     5.2.1. Basis Point Share (BPS) Analysis by End Users
     5.2.2. Y-o-Y Growth Projections by End Users
  5.3. Structured Data Management Software Market Size and Volume Forecast by End Users
     5.3.1. Healthcare
     5.3.2. Government
     5.3.3. BFSI
     5.3.4. Retail
     5.3.5. eCommerce
     5.3.6. Manufacturing
     5.3.7. Automobile
     5.3.8. IT & Telecom
  5.4. Absolute $ Opportunity Assessment by End Users
  5.5. Market Attractiveness/Growth Potential Analysis by End Users
6. Global Structured Data Management Software Market Analysis and Forecast by Region
  6.1. Market Trends
  6.2. Introduction
     6.2.1. Basis Point Share (BPS) Analysis by Region
     6.2.2. Y-o-Y Growth Projections by Region
  6.3. Structured Data Management Software Market Size and Volume Forecast by Region
     6.3.1. North America
     6.3.2. Latin America
     6.3.3. Europe
     6.3.4. Asia Pacific
     6.3.5. Middle East and Africa (MEA)
  6.4. Absolute $ Opportunity Assessment by Region
  6.5. Market Attractiveness/Growth Potential Analysis by Region
  6.6. Global Structured Data Management Software Demand Share Forecast, 2019-2026
7. North America Structured Data Management Software Market Analysis and Forecast
  7.1. Introduction
     7.1.1. Basis Point Share (BPS) Analysis by Country
     7.1.2. Y-o-Y Growth Projections by Country
  7.2. North America Structured Data Management Software Market Size and Volume Forecast by Country
     7.2.1. U.S.
     7.2.2. Canada
  7.3. Absolute $ Opportunity Assessment by Country
  7.4. North America Structured Data Management Software Market Size and Volume Forecast by End Users
     7.4.1. Healthcare
     7.4.2. Government
     7.4.3. BFSI
     7.4.4. Retail
     7.4.5. eCommerce
     7.4.6. Manufacturing
     7.4.7. Automobile
     7.4.8. IT & Telecom
  7.5. Basis Point Share (BPS) Analysis by End Users
  7.6. Y-o-Y Growth Projections by End Users
  7.7. Market Attractiveness/Growth Potential Analysis
     7.7.1. By Country
     7.7.2. By Product Type
     7.7.3. By Application
  7.8. North America Structured Data Management Software Demand Share Forecast, 2019-2026
8. Latin America Structured Data Management Software Market Analysis and Forecast
  8.1. Introduction
     8.1.1. Basis Point Share (BPS) Analysis by Country
     8.1.2. Y-o-Y Growth Projections by Country
     8.1.3. Latin America Average Pricing Analysis
  8.2. Latin America Structured Data Management Software Market Size and Volume Forecast by Country
      8.2.1. Brazil
      8.2.2. Mexico
      8.2.3. Rest of Latin America
   8.3. Absolute $ Opportunity Assessment by Country
  8.4. Latin America Structured Data Management Software Market Size and Volume Forecast by End Users
     8.4.1. Healthcare
     8.4.2. Government
     8.4.3. BFSI
     8.4.4. Retail
     8.4.5. eCommerce
     8.4.6. Manufacturing
     8.4.7. Automobile
     8.4.8. IT & Telecom
  8.5. Basis Point Share (BPS) Analysis by End Users
  8.6. Y-o-Y Growth Projections by End Users
  8.7. Market Attractiveness/Growth Potential Analysis
     8.7.1. By Country
     8.7.2. By Product Type
     8.7.3. By Application
  8.8. Latin America Structured Data Management Software Demand Share Forecast, 2019-2026
9. Europe Structured Data Management Software Market Analysis and Forecast
  9.1. Introduction
     9.1.1. Basis Point Share (BPS) Analysis by Country
     9.1.2. Y-o-Y Growth Projections by Country
     9.1.3. Europe Average Pricing Analysis
  9.2. Europe Structured Data Management Software Market Size and Volume Forecast by Country
     9.2.1. Germany
     9.2.2. France
     9.2.3. Italy
     9.2.4. U.K.
     9.2.5. Spain
     9.2.6. Russia
     9.2.7. Rest of Europe
  9.3. Absolute $ Opportunity Assessment by Country
  9.4. Europe Structured Data Management Software Market Size and Volume Forecast by End Users
     9.4.1. Healthcare
     9.4.2. Government
     9.4.3. BFSI
     9.4.4. Retail
     9.4.5. eCommerce
     9.4.6. Manufacturing
     9.4.7. Automobile
     9.4.8. IT & Telecom
  9.5. Basis Point Share (BPS) Analysis by End Users
  9.6. Y-o-Y Growth Projections by End Users
  9.7. Market Attractiveness/Growth Potential Analysis
     9.7.1. By Country
     9.7.2. By Product Type
     9.7.3. By Application
  9.8. Europe Structured Data Management Software Demand Share Forecast, 2019-2026
10. Asia Pacific Structured Data Management Software Market Analysis and Forecast
  10.1. Introduction
     10.1.1. Basis Point Share (BPS) Analysis by Country
     10.1.2. Y-o-Y Growth Projections by Country
     10.1.3. Asia Pacific Average Pricing Analysis
  10.2. Asia Pacific Structured Data Management Software Market Size and Volume Forecast by Country
     10.2.1. China
     10.2.2. Japan
     10.2.3. South Korea
     10.2.4. India
     10.2.5. Australia
     10.2.6. Rest of Asia Pacific (APAC)
  10.3. Absolute $ Opportunity Assessment by Country
  10.4. Asia Pacific Structured Data Management Software Market Size and Volume Forecast by End Users
     10.4.1. Healthcare
     10.4.2. Government
     10.4.3. BFSI
     10.4.4. Retail
     10.4.5. eCommerce
     10.4.6. Manufacturing
     10.4.7. Automobile
     10.4.8. IT & Telecom
  10.5. Basis Point Share (BPS) Analysis by End Users
  10.6. Y-o-Y Growth Projections by End Users
  10.7. Market Attractiveness/Growth Potential Analysis
     10.7.1. By Country
     10.7.2. By Product Type
     10.7.3. By Application
  10.8. Asia Pacific Structured Data Management Software Demand Share Forecast, 2019-2026
11. Middle East & Africa Structured Data Management Software Market Analysis and Forecast
  11.1. Introduction
     11.1.1. Basis Point Share (BPS) Analysis by Country
     11.1.2. Y-o-Y Growth Projections by Country
     11.1.3. Middle East & Africa Average Pricing Analysis
  11.2. Middle East & Africa Structured Data Management Software Market Size and Volume Forecast by Country
     11.2.1. Saudi Arabia
     11.2.2. South Africa
     11.2.3. UAE
     11.2.4. Rest of Middle East & Africa (MEA)
  11.3. Absolute $ Opportunity Assessment by Country
  11.4. Middle East & Africa Structured Data Management Software Market Size and Volume Forecast by End Users
     11.4.1. Healthcare
     11.4.2. Government
     11.4.3. BFSI
     11.4.4. Retail
     11.4.5. eCommerce
     11.4.6. Manufacturing
     11.4.7. Automobile
     11.4.8. IT & Telecom
  11.5. Basis Point Share (BPS) Analysis by End Users
  11.6. Y-o-Y Growth Projections by End Users
  11.7. Market Attractiveness/Growth Potential Analysis
     11.7.1. By Country
     11.7.2. By Product Type
     11.7.3. By Application
  11.8. Middle East & Africa Structured Data Management Software Demand Share Forecast, 2019-2026
12. Competition Landscape
  12.1. Global Structured Data Management Software Market: Market Share Analysis
  12.2. Structured Data Management Software Distributors and Customers
  12.3. Structured Data Management Software Market: Competitive Dashboard
  12.4. Company Profiles (Details: Overview, Financials, Developments, Strategy)
     12.4.1. Adobe
     12.4.2. Amazon Web Services, Inc.
     12.4.3. Ataccama
     12.4.4. Broadcom
     12.4.5. Cisco Systems, Inc.
     12.4.6. Fujitsu
     12.4.7. Google LLC
     12.4.8. Hewlett Packard Enterprise Development LP
     12.4.9. IBM Corporation
     12.4.10. Informatica Inc.
     12.4.11. Microsoft
     12.4.12. MuleSoft (from Salesforce)
     12.4.13. Open Text
     12.4.14. Oracle
     12.4.15. RACKSPACE TECHNOLOGY
     12.4.16. Salesforce, Inc.
     12.4.17. SAP SE
     12.4.18. SAS Institute Inc.
     12.4.19. Talend, Inc.
     12.4.20. Teradata

Methodology

Our Clients

sinopec
Nestle SA
Deloitte
General Mills
FedEx Logistics
Honda Motor Co. Ltd.
General Electric
Dassault Aviation